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Representation of Leaf-to-Canopy Radiative Transfer Processes Improves Simulation of Far-Red Solar-Induced Chlorophyll Fluorescence in the Community Land Model Version 5

Li, Rong and Lombardozzi, Danica and Shi, Mingjie and Frankenberg, Christian and Parazoo, Nicolas C. and Köhler, Philipp and Yi, Koong and Guan, Kaiyu and Yang, Xi (2022) Representation of Leaf-to-Canopy Radiative Transfer Processes Improves Simulation of Far-Red Solar-Induced Chlorophyll Fluorescence in the Community Land Model Version 5. Journal of Advances in Modeling Earth Systems, 14 (3). Art. No. e2021MS002747. ISSN 1942-2466. doi:10.1029/2021ms002747.

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Recent advances in satellite observations of solar-induced chlorophyll fluorescence (SIF) provide a new opportunity to constrain the simulation of terrestrial gross primary productivity (GPP). Accurate representation of the processes driving SIF emission and its radiative transfer to remote sensing sensors is an essential prerequisite for data assimilation. Recently, SIF simulations have been incorporated into several land surface models, but the scaling of SIF from leaf-level to canopy-level is usually not well-represented. Here, we incorporate the simulation of far-red SIF observed at nadir into the Community Land Model version 5 (CLM5). Leaf-level fluorescence yield was simulated by a parametric simplification of the Soil Canopy-Observation of Photosynthesis and Energy fluxes model (SCOPE). And an efficient and accurate method based on escape probability is developed to scale SIF from leaf-level to top-of-canopy while taking clumping and the radiative transfer processes into account. SIF simulated by CLM5 and SCOPE agreed well at sites except one in needleleaf forest (R² > 0.91, root-mean-square error <0.19 W⋅m⁻²⋅sr⁻¹⋅μm⁻¹), and captured the day-to-day variation of tower-measured SIF at temperate forest sites (R² > 0.68). At the global scale, simulated SIF generally captured the spatial and seasonal patterns of satellite-observed SIF. Factors including the fluorescence emission model, clumping, bidirectional effect, and leaf optical properties had considerable impacts on SIF simulation, and the discrepancies between simulate d and observed SIF varied with plant functional type. By improving the representation of radiative transfer for SIF simulation, our model allows better comparisons between simulated and observed SIF toward constraining GPP simulations.

Item Type:Article
Related URLs:
URLURL TypeDescription SIF simulations ItemGOME-2 SIF data ItemTROPOMI and OCO-2 SIF data observation at Harvard forest observation at US-NR1 observation US-NE3 supercomputer
Li, Rong0000-0002-0536-5098
Lombardozzi, Danica0000-0003-3557-7929
Shi, Mingjie0000-0002-2469-4831
Frankenberg, Christian0000-0002-0546-5857
Parazoo, Nicolas C.0000-0002-4424-7780
Köhler, Philipp0000-0002-7820-1318
Yi, Koong0000-0002-8630-3031
Guan, Kaiyu0000-0002-3499-6382
Yang, Xi0000-0002-5095-6735
Additional Information:© 2022 The Authors. Journal of Advances in Modeling Earth Systems published by Wiley Periodicals LLC on behalf of American Geophysical Union. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. Issue Online: 20 March 2022; Version of Record online: 20 March 2022; Accepted manuscript online: 17 February 2022; Manuscript accepted: 14 February 2022; Manuscript revised: 18 January 2022; Manuscript received: 29 July 2021. The authors thank the editor and the two anonymous reviewers for their constructive comments on the manuscript. X. Yang was funded by the National Aeronautics and Space Administration (80NSSC17K0110), the National Science Foundation through Division of Integrative Organismal Systems (2005574), the Office of Polar Programs (2023205), and the Center for Innovative Technology through Commonwealth Research Commercialization Fund (MF20-008-US). M. Shi was partly supported by the U.S. Department of Energy Office of Science Biological and Environmental Research as part of the Terrestrial Ecosystem Science Program through the Next-Generation Ecosystem Experiments (NGEE) Tropics project. PNNL is operated by the Battelle Memorial Institute for the U.S. DOE under contract DE-AC05-76RLO1830. The CESM project is supported primarily by the National Science Foundation (NSF). This material is based upon work supported by the National Center for Atmospheric Research, which is a major facility sponsored by the NSF under Cooperative Agreement 1852977. Computing and data storage resources, including the Cheyenne supercomputer (, were provided by the Computational and Information Systems Laboratory (CISL) at the NCAR. A portion of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under contract with the NASA. Support from the NASA Earth Science Division Terrestrial Ecology program's Arctic Boreal Vulnerability Experiment (ABoVE) is acknowledged. Operation of the US-Ha1 site is supported by the AmeriFlux Management Project with funding by the U.S. Department of Energy's Office of Science under Contract No. DE-AC02-05CH11231, and additionally is a part of the Harvard Forest LTER site supported by the National Science Foundation (DEB-1832210). Funding for the AmeriFlux core site US-NR1 data was provided by the U.S. Department of Energy's Office of Science. The US-Ne3 AmeriFlux site is supported by the Lawrence Berkeley National Lab AmeriFlux Data Management Program and the Carbon Sequestration Program, University of Nebraska-Lincoln Agricultural Research Division. Funding for AmeriFlux core site data was provided by the U.S. Department of Energy's Office of Science. Data Availability Statement: Code and results for CLM5 SIF simulations are available at GOME-2 SIF data is available at; TROPOMI and OCO-2 SIF data are available at SIF observation at Harvard forest is available at SIF observation at US-NR1 is available at SIF observation at US-NE3 is available at
Funding AgencyGrant Number
Center for Innovative Technology (Virigina)MF20-008-US
Department of Energy (DOE)DE-AC05-76RLO1830
Department of Energy (DOE)DE-AC02-99605CH11231
Lawrence Berkeley National LaboratoryUNSPECIFIED
University of Nebraska-LincolnUNSPECIFIED
Subject Keywords:solar-induced chlorophyll fluorescence; land surface model; Community Land Model; gross primary productivity; radiative transfer; escape probability
Issue or Number:3
Record Number:CaltechAUTHORS:20220217-687226000
Persistent URL:
Official Citation:Li, R., Lombardozzi, D., Shi, M., Frankenberg, C., Parazoo, N. C., Köhler, P., et al. (2022). Representation of leaf-to-canopy radiative transfer processes improves simulation of far-red solar-induced chlorophyll fluorescence in the Community Land Model version 5. Journal of Advances in Modeling Earth Systems, 14, e2021MS002747.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:113495
Deposited By: George Porter
Deposited On:17 Feb 2022 20:48
Last Modified:06 Apr 2022 18:34

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